Linked, enriched and analytics ready, Compile’s smart data layer transforms messy and disparate datasets into an intuitive graph of healthcare providers and all their activities
Legacy solutions aren’t built for today's commercial analytics
Every large dataset, such as patient-level data (PLD), sales data and pharmacy claims have gaps due to partial or erroneous data fields. These need to be identified and cleansed before the data can be used.
Users of these datasets have to a steep learning curve to understand the data structure and build queries. Additionally multiple tables and a proliferation of fields require complex queries.
Presence of treating or associated providers (HCP/HCO) is critical in using claims-based data for any analytics. Yet these important fields aren’t filled in many instances, limiting provider and patient counts.
Joining multiple data assets isn’t straight forward. In the absence of a consistent key across all data, users have to build custom matching rules. This is time consuming and prone to errors.
Unified, linked and analytics-ready data that gives a complete and accurate view of providers